N00014-19-R-S002_Amendment_0002_Attachment_1_(Industry_Day_Slides).pptx

ACCELERATING TO THE NAVY & MARINE CORPS AFTER NEXT

Electronic Warfare Technology Industry Day

Dr. Daniel S. Green

Distribution A. Approved for public release 43-4610-18, distribution is unlimited.

ONR Special Notice# N00014-19-R-S002

Posted: 19 October 2018 Agency Name: Office of Naval Research Research Opportunity Title: Electronic Warfare Technology Program Name: Electronic Warfare Discovery & Invention (D&I) Response Dates:

White Papers: 12 December 2018 Full Proposals: 28 February 2019

ONR Discovery & Invention Distribution Statement A. Approved for public release 43-4610-18, distribution is unlimited.

Agenda ONR and Electronic Warfare Team Introduction 2018 EW Discovery and Invention Investment 2018 Scene Setting: Overcoming SWaP Focus: Technical Area Descriptions Alternate Computing Technologies Distributing RF Power Compact EO/IR Solutions Innovative Component Technologies (Game changers) Mechanics Long Range BAA Timeline Break Contracting Processes (Mr. Stephen Hughes) Contract questions Questions

4,000+ People 23 Locations $2.1B / year >1,000 Partners

ONR HQ

NRL

ONR Global

The Naval Research Enterprise

1. 6 SEP 2017 VIIRS Satellite capture of 3 Atlantic hurricanes (Undersea Battlespace and Maritime Domain Access/Code 32)

2. Unmanned Combat Amphibious Swarming System (Amphibious Expeditionary Maneuver/Code 30)

3. Hyper Velocity Projectile (Aviation, Force Projection and Integrated Defense/Code 35)

4. Augmented Reality Visor (Amphibious Expeditionary Maneuver/Code 30)

5. CIC Display (Information, Cyber and Spectrum Superiority/Code 31)

6. ZRay Glider (Undersea Battlespace and Maritime Domain Access/Code 32)

7. Advanced Naval Power Systems (Mission Capable, Persistent and Survivable Sea Platforms/Code 33)

8. Research Protections Division (Warfighter Supremacy/Code 34)

9. Solid State Laser (Aviation, Force Projection and Integrated Defense/Code 35)

10. Virtual and Constructive Representations on Live Avionics Displays (Warfighter Supremacy/Code 34)

Technology Team Dr. Daniel S. Green EW Program Manager Dr. Amy Bell EW Program Officer Dr. Kevin Leonard EW Program Officer Dr. Trevor Snow EW Program Officer Mr. Charles (CJ) Bakker EW Program Officer Mr. Shane Stein Envisioneering CAPT (ret) Steve Debus Envisioneering CAPT (ret) Bob Kusuda Envisioneering Ms. Adrien Fairweather Envisioneering Business Team Dr. Andrew Pipino Envisioneering D&I Portfolio Areas RF Antennas Apertures EO/IR Beam Steering Aperture Isolation ES System WB RF Receivers EO/IR Sensing ES Components Processing ES Processing ES Techniques EA Processing EA Techniques Cognitive EW Techniques & Tools EW/Cyber Shared Domain Tools EA System RF/mmW Tx EO/IR Tx EA Components EW D&I Thrust Sub-Thrust Area Government SETA Support

FY19 ONR Special Notice ONR 312 Electronic Warfare

2018 Electronic Warfare Scene Setting

Joint EW Technology Challenges & Opportunities for EW Collaboration The EW COI Science & Technology Roadmap “A Cross-cutting S&T investment strategy with resulting leap-ahead capabilities involving the use of Electro-Magnetic (EM) and directed energy to control the EM Spectrum or to attack the enemy while protecting our own EM systems against interference.”

ONR’s EW S&T investments synchronized across the Services

Cleared from last year’s BAA Industry Day

UNCLASSIFIED

Extending Traditional EW Operations to Autonomous Off-board Platforms

Distributed EMW Operations

Picture 1 (Carrier Strike Group) - https://www.deccanchronicle.com/world/america/230617/us-ballistic-missile-intercept-test-fails.html Picture 2 (Drone Swarm) - https://www.aertecsolutions.com/2016/02/08/drone-swarm/?lang=en https://en.wikipedia.org/wiki/Sea_Hunter#/media/File:Sea_Hunter_gets_underway_on_the_Willamette_River_following_a_christening_ceremony_in_Portland,_Ore._(25702146834).jpg https://www.militaryaerospace.com/articles/2013/05/Metron-LDUUV-autonomy.html

Organic Off-board RF Sensing Capability in a much smaller form factor w/ lower SWaP-Cooling

Advanced Off-board RF Capabilities Challenge: Maintain/improve RF capabilities in compromised platform

Picture 1 (SPY-1 array) – http://radar-review.blogspot.com/2012/07/spy-radar-arrays-arrive-in-adelaide.html Picture 2 (DDG 51 Flight III) – https://www.militaryaerospace.com/articles/2016/08/destroyer-shipboard-radar.html Picture 3 (AMDR Overview ) – https://www.youtube.com/watch?v=s7fccxSjF0Q Picture 4 (Predator UAV CAD model) – https://www.3dcadbrowser.com/download.aspx?3dmodel=52082

Distributed sensors may only have the processing of a Single Board Computer Modern “AI” applications require access to server farms

Distributed EMW Capabilities Challenge: Access and interpret the spectrum aboard small, distributed platforms

Picture 1 (Siri) – https://thenextweb.com/apple/2017/10/04/hey-siri-have-a-happy-birthday-and-remind-me-to-take-out-the-trash-tonight/ Picture 2 (Amazon Echo) – https://finance.yahoo.com/news/no-idea-amazon-echo-back-under-100-one-122027753.html Picture 3 (Apple iPhone w/ Facial Recognition) – https://www.cultofmac.com/487120/apple-supplier-will-ship-3d-facial-recognition-sensors-time-iphone-8/ Picture 4 (Server Farm) – https://www.cloudyn.com/blog/10-facts-didnt-know-server-farms/ Picture 5 (EO/IR Ball) – https://www.raytheon.com/capabilities/products/mts Picture 6 (Deep Learning Workflow) – https://www.mathworks.com Picture 7 (Single Board Computer) - https://community.arm.com/iot/embedded/b/embedded-blog/posts/share-your-single-board-computer-stories

Electronic Warfare Technology Special Notice Technology Focus

2018 EWT Focus

TA 1: Alternative Computational Approaches Applied to EW

TA 2: Compact, Efficient, Beam-Agile Transmitters

TA 3: Compact, Efficient, Electro-Optical/Infrared Transmitters

TA 4: Component Technologies for Innovative Distributed EW

TA 1: Alternative Computational Approaches Applied to EW Exploit emerging novel chipsets and architectures for EW big data / signal processing challenges Dramatically reduce SWAP for today’s performance Solve previously computationally prohibitive problem at reasonable SWAP

STAP in SAR TA1 Objective: Major advancements in RF devices for:

Ref: K.Y. Li, IEEE Radar, 2012 Ref: Open Geospatial Consortium, OGC 12-077r1 , 2012

Ref: A. Biswas, ISSCC, 2018

ML & Big Data - at the edge Face Recognition Speech Recognition Image Classification Object Detection

AI revolution & ML Faster local decisions Less communication More secure Requirements:

Low power consumption Real time processing ML – Edge Computing

Ref: Handbook of UAV, Springer, 2014

ML Implications Deep Learning for machine vision Milestone: AlexNet won ILSVRC-2012 challenge (Ref. A. Krizhevksy, NIPS 2012) Best classifier of 1.3 million images into 1000 classes (error rate 15.3%, next best rate 26.2%)

Deep CNN drives the use of multiply-and-accumulate (MAC) as basic computation unit in neural networks

Each MAC requires:

3 memory reads 1 memory write

In worst case, every memory access goes through DRAM, so for AlexNet :

724M MACS 3000M DRAM accesses

Ref: V. Sze, arXiv, 2017

Machine Learning Algorithms push computational resources in ways that exacerbate memory bottleneck in conventional compute architectures

“Deep” means the neural network has anywhere from 5 to >1000 layers “Convolutional” means that, within a layer of the neural network, the layer’s input feature map is convolved with filters to derive the layer’s output feature map

Alternative Computing Example Custom ASIC Solution Proactive memory approach: SRAM embedded compute, e.g. near-memory processing Conv-SRAM Architecture for classification algorithm Embedding memory in or near computing enables:

Less data transfer more energy efficient More parallel operation higher throughput

Ref: A. Biswas, ISSCC, 2018

60X improvement!

Ref: Intel Movidius & Google AIY, ai.intel.com, 2018 Technology Leverage

Ref: FRANC Proposers Day, DARPA, 2017 DARPA: Electronics Resurgence Initiative

Google Edge TPU Ref: J. Vincent, The Verge, 2018 Intel AIY

DARPA: CHIPS Program www.darpa.mil Broad investment in processing chips across industry and government EWT Investment seeks to leverage these emerging technical solutions for EW applications

Benchmarks: PNNL’s PERFECT/SEAK Pacific Northwest National Laboratory (PNNL) defined benchmark suite represent computing constrained embedded applications http://hpc.pnnl.gov/PERFECT/

Ref: FRANC Proposers Day, DARPA, 2017 SEAK: suite of embedded applications and kernels intended to define computing problems of interest to the DoD http://hpc.pnnl.gov/SEAK/files/SEAK-Specification.pdf

TA1: Key Solution Features Focus on signal processing engine in context of EW application Solution set beyond solely FPGA, GPU or CPU Include discussion of how to test for success

TA2: Compact, Efficient, Beam Agile Transmitters TA2 Objective: Major advance in RF devices for distributed sources

Organic Off-board RF Sensing Capability in a much smaller form factor w/ lower SWaP-Cooling

What are needed component technologies to drive this vision?

Monolithic RF Power Sources Few, large platforms Easier SWaP constraints Limited delivery of RF power (horizon limits, etc.)

Distributed RF Power Sources Numerous, smaller platforms Greater flexibility in allocating RF power to geographic locations Requires lightweight, efficient solutions Distributing RF Power

TA 2: RF Power Sub-Areas TA2 Objectives: Major advancements in RF devices for:

Area 2A - Improved peak power for larger systems Area 2B – Improved average power for compact systems Interested in:

Scalable demonstrators Component or other subsystem technologies

Volume: ~ 8 ft3 Aperture: ~ 4 ft2 Volume: ~ 1 ft3 Aperture: ~ 2 ft2

TA 2: Distributing RF Power Hua Wang, Fei Wang, Huy Thong Nguyen, Sensen Li, Tzu-Yuan Huang, Amr S. Ahmed, Michael Edward Duffy Smith, Naga Sasikanth Mannem, and Jeongseok Lee, "Power Amplifiers Performance Survey 2000-Present," [Online]. Available: https://gems.ece.gatech.edu/PA_survey.html

Single Devices Phased Array Element Power

TA 2: Distributing RF Power Hua Wang, Fei Wang, Huy Thong Nguyen, Sensen Li, Tzu-Yuan Huang, Amr S. Ahmed, Michael Edward Duffy Smith, Naga Sasikanth Mannem, and Jeongseok Lee, "Power Amplifiers Performance Survey 2000-Present," [Online]. Available: https://gems.ece.gatech.edu/PA_survey.html https://en.wikipedia.org/wiki/Gamma-ray_burst#/media/File:GRB080319B_illustration_NASA.jpg https://science.nasa.gov/astrophysics/focus-areas/black-holes

Single Devices Phased Array Element Power Black Hole Jets

1.3e24 W/mm Growth Mindset 470 dBm Gamma Ray Bursts

“These go to 11”

Too Costly Existing technology and Prior Efforts Just right TA 2: RF Component Space Transistors

MMIC

T/R Modules Small Aperture Building Block Full-Scale Arrays High W/mm Devices Temp. Tolerant / Improved Thermal Management Compact, Efficient Vacuum Devices

High Efficiency, Adaptive, Tunable Architectures Compact High Power Electronic Beam-steering

High Efficiency COTS devices All submissions should describe their technology relates to state-of-the-art and how the technology could scale to Area 2A/2B full-sized systems.

https://decider.com/2017/06/24/my-first-time-spaceballs-anniversary/ High-power switches / tunable filters and matching networks

DARPA ICECOOL

DARPA DREAM

Luneberg lens, artificial dielectrics, reflect arrays

Magnetrons / TWT

TA 2: Component Technology Proposed efforts should focus on component technology Technology should be extrapolated to full system performance for TA2.A or TA2.B Avoid basic research on materials or transistors Technology can address TA2.A or TA2.B or both

TA 3: Compact EO/IR Transmitters

EMS usage has proliferated beyond the traditional RF spectrum

Need to be able to utilize all the optically “transparent” atmospheric windows effectively and efficiently

Need to be able to have this advantage even on SWAP constrained platforms

TA3 Looks to Develop Compact, Efficient, EO/IR Sources and Systems across the Electromagnetic Spectrum TA3 Objective: Better sources for optical power from UV to LWIR

Lab Chiller (from https://www.thermofisher.com/)

Power Supply Novel concepts for efficient, multi-band semiconductor laser system with reduced total system size benchmarked to current state-of-the-art.

Laser should include at least two bands from (Visible, Mid Wave Infrared (MWIR) and Long Wave Infrared (LWIR)) -- MWIR preferred Single, high brightness output (M^2 <3) Each band should have at least 10W continuous wave (CW) output power.

Minimal to no free-space optics preferred (to reduce the effects of shock, vibration and extreme temperature variations) Total system size (including cooling) should be less than 200 cubic inches.

Discuss engineering trades.

Chiller and Power Supply can be >70% of the system size TA 3.A: Multi-Spectral Laser Systems

Schubert, Light-Emitting Diodes (Cambridge Univ. Press) Band Gap Energy (eV) First blue and violet InGaN/GaN diode lasers demonstrated in 1990s (Nakamura et. al. from Nichia)

OSRAM recently demonstrated a 83W CW 450nm laser bar at SPIE Photonics West (König, et. al.)

GaN limited to 362nm on the short end of the wavelength spectrum due to bandgap energy

Some progress seen with AlGaN and AlN materials for pulsed operation Need for higher power, more efficient, high quality UVA (315-400nm) emitters and laser bars to enable beam combining in a compact package TA 3.B: High Power UVA Lasers

TA 3.B: Technical Details Development of more efficient, higher power emitters and laser systems in the Ultraviolet A (UVA) (315-400 nm) desired Current commercial UV diodes are less than 250mW in the UVA band Spectral beam combining of individual emitters and/or laser bars has shown promise.

Ideal UVA system would be able to:

Accommodate 3 or more lines anywhere within the UVA band, Provide greater than 10W power output Permit 2 to 3 orders of magnitude amplitude control, Quickly switch between waveforms (DC thru 10kHz Couple to a 100-micron core fiber output.

CW-desired, but pulsed sources with repetition frequencies of greater than 100 kHz and pulse widths greater than 10ns would be considered Volume of the full system should not exceed 75 cubic inches.

Both higher power emitter technologies and/or novel system designs to meet the above metrics are of interest under Technical Area 3.B

Yao, et. al., Mid-infrared quantum cascade lasers, Nature Photonics 6, 432 (2012) Botez, et. al., High-efficiency, high-power mid-infrared quantum cascade lasers, Optical Materials Express 8(5), 1378 (2018) Modelling Suggests 40% Wall Plug Efficiency is Possible Trend over time demonstrates device efficiency is improving Proposed efforts should specify the level of expected increase in Wall Plug Efficiency (WPE) and/or device power over state-of-the-art systems Desire Efficient, High Power MWIR/LWIR Emitters/Bars to Support Low SWaP Systems

QCL WPE vs. Wavelength (Model) (Experimental)

Published WPE Results vs. Time TA 3.C: Low SWaP MWIR/LWIR Enablers

TA 3: EO/IR Solutions Proposed efforts should target one sub-area Document technology metrics and comparison to state of the art Focus on optical source development with plan for future system integration

TA 4: Innovative Component Technologies TA4 Objective: Breakthrough tech with quantitative benefits Open to the possibility of breakthrough technology enabling to EW missions Focus on radical technology opportunity by requiring quantitative FOM increase of 1000X FOM is proposer defined, for example:

Notional EW widget: Offers potential to improve simultaneously the instantaneous bandwidth by 10X, while it reduces the system power and size to 10% of original

Define FOM = IBW x (1/Power) x (1/Size) = 10 x 10 x 10 = 1000

Electronic Warfare Technology Special Notice Research Call and Programmatic Considerations

EW Opportunity

ONR Long Range BAA N00014-18-S-B001 Special Notice N00014-19-R-S002

Provides formal proposal methodology Documents technical evaluation criteria Supplies technology investment focus Details timeline for action

Total funding under is anticipated to be ~$8-10M per year, or $25-30M over three years.

The period of performance for projects may be from 12 to 36 months.

The estimated start date of selected projects is subject to date of final award and availability of fiscal year (FY) funds with notional timeline:

White Papers Due Dec 12

* Estimated Date Gov Feedback Jan 10* Workshop Jan 23-24 Full Proposal Feb 28

Contract Award July*

Feedback Jan 29* ONR Discovery & Invention Special Notice Oct 19

Industry Day Nov 13

All responsible sources from academia and industry may submit proposals under the ONR Long Range BAA.

University Affiliated Research Centers (UARC) are eligible to submit proposals under this BAA unless precluded from doing so by their Department of Defense UARC contracts.

There will be no set asides for Historically Black Colleges and Universities (HBCUs) and Minority Institutions (MIs).

Navy laboratories and warfare centers, as well as other Department of Defense and civilian agency laboratories, and Federally Funded Research & Development Centers (FFRDCs), including Department of Energy National Laboratories, are not eligible to receive awards under the ONR Long Range BAA and should not directly submit either white papers or full proposals in response to this BAA.

ONR Discovery & Invention: Eligibility

ONR has distributed a parallel call to government labs and other parties that are barred from proposing to the BAA. There are no fixed percentages or set-asides for the two initiatives and ALL the White Papers/Oral Briefs/Proposals are evaluated together to determine which should be funded using evaluation criteria specified in the BAA. Responses from these organizations are being solicited separately, using the same guidance regarding research areas of interest, white paper format, deadlines, and evaluation criteria.

Bottom line: All civilian, industry, government, and military organizations are encouraged to submit white paper responses to the four ONR EW research areas as solicited.

ONR Discovery & Invention: Eligibility

Some topics cover export controlled technologies. Research in these areas is limited to “U.S. persons” as defined in the International Traffic in Arms Regulations (ITAR) - 22 CFR § 1201.1 et seq.

White papers and proposals are expected to be unclassified. However, classified white papers and proposals are permitted.

In order to facilitate intra-program collaboration and technology transfer, the Government will attempt to enable awardees to work at the unclassified level to the maximum extent possible.

If awardees use unclassified data in their deliveries and demonstrations regarding a potentially classified project, they should use methods and conventions consistent with those used in classified environments.

It is the responsibility of the proposer to ensure that all applicable security classification guides are followed and materials are controlled at the appropriate level.

ONR Discovery & Invention: Security

Evaluations will be conducted using the following evaluation criteria:

Overall scientific and technical merits of the proposal and responsiveness to the topic (i.e., the degree of innovation, soundness of technical concept, Offeror's awareness of the state of the art and understanding of the scope of the problem, significance and originality of the technical approach and effort needed to address/solve the problem, and anticipated scientific impact within the field. The following areas will also be considered:

Offeror’s capabilities, related experience, facilities, techniques or unique combinations of these which are integral factors for achieving the proposal objectives, and Qualifications, capabilities and experience of proposed Principal Investigator (PI), team leader & key personnel who are critical to achieving the proposal objectives.

Potential Naval relevance and contribution to the ONR and Department of Navy mission.

Availability of funds. (Not applicable to white papers.)

Criteria 1, 2, and 3 are equally important.

Evaluation Criteria (BAA)

Proposal Structure Seek proposals with defined milestones

Request initial 6 months milestone Exact timeline can vary based on development plan and extent of work

6 mos Contract Award 12 mos 18 mos Option 1 Option 2

Tech Demo Notional Program Plan Milestone1 Milestone2

White papers should be submitted no later than 4:00pm EST on 12 December 2018.

White papers received after that date will be considered as time and availability of funding permit.

Follow format instructions in Special Notice.

ONR Discovery & Invention: Timing

Technical

Business

ONR Discovery & Invention:

Points of Contact

Questions?

Submit written questions… Distribution Statement A. Approved for public release 43-4610-18, distribution is unlimited.

Presentation slides and answers to questions submitted to this Special Notice will be posted to the following web pages no later than 21 November 2018:

Federal business opportunities (fedbizopps) webpage – https://www.Fbo.Gov/ Grants.Gov webpage – http://www.Grants.Gov/ ONR special notice webpage - http://www.Onr.Navy.Mil/contracts-grants/funding-opportunities/special-notices.Aspx

Doing Business with Office of Naval Research (ONR) Stephen Hughes – Contracting Officer Distribution Statement A. Approved for public release 43-4648-18, distribution is unlimited.

Agenda Broad Agency Announcement (BAA) Instruments Communications Performance/Getting Paid

Instruments Grants 2 CFR 200 & DoDGARS

Contracts FAR Based 10/41 USC

Other Transaction Authorities (OTA)

10 USC 2371 …

Grant: Principle purpose = stimulation of research No Profit/Fee Regulations are different Release of information is assumed

Contract: Principle purpose = stimulation of research Profit/Fee FAR Clauses including Data Rights Release of information can be restricted

Instruments Other Transaction Authorities (OTA):

Regulations are less restrictive Generally non-traditional firms Data Rights are negotiable Payment schedule

Communications Communications are not restricted at any point in our Broad Agency Announcement Process

Business POC: Stephen Hughes Stephen.T.Hughes@navy.mil Office: 703.696.1575

Small Business Liaison: Brenda Pickett Brenda.Pickett@navy.mil Office: 703.696.2607

Performance/Getting Paid

WWW.SAM.GOV

https://wawf.eb.mil/

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